Strong CogSci: Guidance from Cognitive Science On the Design of a Test of Artificial Intelligence
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Authors
Lebiere, Christian
Bothell, Dan
Morrison, Don
Oltramari, Alessandro
Martin, Michael
Romera, Oscar
Thomson, Robert
Vinokurov, Jerry
Issue Date
2015
Type
Conference presentations, papers, posters
Language
Keywords
turing test , Cognitive science , Artificial Intelligence
Alternative Title
Abstract
We propose a test of human-like intelligence inspired by constraints from cognitive science on unified theories of cognition. The most salient characteristics of this test include the capacity for open-ended, generative behavior, the ability to learn and adapt in real time in complex
environments, and the ability to interact productively with other human and artificial agents. The proposed test environment is Minecraft, a virtual world reflecting many of the key characteristics of real world embodiments. The core task is to build assemblies of varying complexity and
purposes in cooperation with human or artificial entities.
Description
Citation
Lebiere, Christian, Dan Bothell, Don Morrison, Alessandro Oltramari, Michael Martin, Oscar Romero, Robert Thomson, and Jerry Vinokurov. "Strong Cogsci: Guidance from cognitive science on the design of a test of Artificial Intelligence." In Proceedings of the Beyond the Turing Test Workshop, AAAI-2015. 2015.
Publisher
AAAI